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Record W2615466608 · doi:10.17491/jgsi/2005/650405

Quaternary Stratigraphy and Sedimentology of the Kotra Section on the Betwa River, Southern Gangetic Plains, Uttar Pradesh

2005· article· en· W2615466608 on OpenAlexaff
Rajiv Sinha, Vikrant Jain, A.S. Dasgupta

Bibliographic record

VenueJournal of the Geological Society of India · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGeologyFloodplainQuaternaryTributaryBedrockSedimentologyStratigraphyGeomorphologyCliffDiscontinuity (linguistics)GeochemistryPaleontologyHydrology (agriculture)Geography

Abstract

fetched live from OpenAlex

Abstract Floodplain deposits are exposed in an about 29 m high cliff section at Kotra along the Betwa river, a tributary of the Yamuna river at the southern margin of the Gangetic Plains. The Betwa is a peninsular river originating in the Bundelkhand Craton parts of which are exposed as bedrock close to the section. The Betwa river is incised and bordered by an extensive zone of badland (dissected into gullies). The stratigraphic units comprise pedogenized floodplain muds and reworked carbonate gravels that fill small plains-fed channels. Gully fills of mud and gravel mark extensive degradational surfaces that divide the section into discontinuity-bounded units, currently of unknown duration and age. Closely spaced discontinuities low in the section may mark a former interfluve level, after which a thick floodplain succession accumulated up to the level of the modem clifftop. Presence of prominent discontinuities and thick floodplain deposits in the cliff sections suggest that the late Quaternary history of the southern plains is marked by cycles of channel incision and floodplain degradation and alluviation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.214
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2005
Admission routes1
Has abstractyes

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